In order to improve the monitoring capability of marine biological ecological environment, a monitoring model of marine biological ecological environment based on complex dynamic network model is proposed, and an optimal deployment method of complex dynamic network nodes for marine biological ecological environment monitoring based on multi-sensor fusion tracking scheduling is constructed. An optimized topological structure model of a complex dynamic network node for marine biological ecological environment monitoring is constructed; an output link model of the marine biological ecological environment monitoring network node is designed by combining a node output load balancing adjustment method; a spatial link block balancing scheduling technology is adopted for adaptive weighted learning of multiple coverage links of the marine biological ecological environment monitoring network node; a multi-sensor fusion tracking scheduling method is adopted to construct a multi-coverage link equilibrium scheduling model of marine biological ecological environment monitoring network nodes; a complex dynamic network node coverage analysis is carried out by combining a hierarchical analysis method; an optimal deployment model of the complex dynamic network node for marine biological ecological environment monitoring is established; and the optimal deployment of the complex dynamic network node for marine biological ecological environment monitoring is realized by combining a principal component analysis method and a fuzzy clustering method. The simulation results show that the optimized deployment of complex dynamic network nodes for marine bio-ecological environment monitoring by the method has better intelligence and scheduling accuracy, reduces the error rate of network communication, and improves the balanced deployment capability of complex dynamic network nodes for marine bio-ecological environment monitoring. The stability of data transmission is improved. It provides a favorable basis for marine ecological environment monitoring.

为了提高海洋生物生态环境的监测能力，提出了一种基于复杂动态网络模型的海洋生物生态环境监测模型，并提出了一种基于多动态网络的海洋生物生态环境监测的复杂动态网络节点优化部署方法。构造传感器融合跟踪调度。建立了用于海洋生物生态环境监测的复杂动态网络节点的优化拓扑结构模型；结合节点输出负载均衡调整方法，设计了海洋生物生态环境监测网节点的输出链接模型。采用空间链路块均衡调度技术对海洋生物生态环境监测网络节点的多个覆盖链路进行自适应加权学习。采用多传感器融合跟踪调度方法构建海洋生物生态环境监测网节点多覆盖链路均衡调度模型。结合层次分析法进行复杂的动态网络节点覆盖度分析。建立了用于海洋生物生态环境监测的复杂动态网络节点的最优部署模型。结合主成分分析法和模糊聚类法，实现了复杂动态网络节点在海洋生物生态环境监测中的优化部署。仿真结果表明，该方法对海洋生物生态环境监测的复杂动态网络节点的优化部署具有较好的智能性和调度精度，降低了网络通信的误码率，提高了复杂动态网络节点的均衡部署能力。海洋生物生态环境监测。数据传输的稳定性得到提高。为海洋生态环境监测提供了有利的依据。并提高了复杂动态网络节点在海洋生物生态环境监测中的均衡部署能力。数据传输的稳定性得到提高。为海洋生态环境监测提供了有利的依据。并提高了复杂动态网络节点在海洋生物生态环境监测中的均衡部署能力。数据传输的稳定性得到提高。为海洋生态环境监测提供了有利的依据。